Previous Semesters

Spring 2025 Schedule

For Spring 2025, we will be organizing the seminar in hybrid mode. The zoom link will be sent via deptartment wide email and the in-person session will be held in the KT 5th floor conference room. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
March 25
12pm - 1pm
Yasmeen Asali Jane Lee (Yale) Distribution Learning and Inference using Incomplete Data
April 8
12pm - 1pm
Yasmeen Asali Ebraheem Farag (Yale) From Software Instruments to Stellar Evolution with Git
April 22
12pm - 1pm
Yasmeen Asali and Christopher Lindsay Jeroen Audenaert (MIT) From stellar light to astrophysical insight: automating variable star research with machine learning
May 6
12pm - 1pm
Yasmeen Asali Viraj Pandya (Columbia) Physics-Informed, AI-Accelerated Dynamical Modeling and Bayesian Inference for Galaxy Populations
May 20
12pm - 1pm
Yasmeen Asali Kaley Brauer (Harvard) Simulating Early Chemical Enrichment and Galaxy Formation

Spring 2025 Organizer: Yasmeen Asali.

Fall 2024 Schedule

For Fall 2024, we will be organizing the seminar in hybrid mode. The zoom link will be sent via deptartment wide email and the in-person session will be held in the KT 5th floor conference room. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
Sept. 3
12pm - 1pm
Yasmeen Asali Journal Club See “Yale Astro. Data Science” on benty-fields for papers
Sept. 17
12pm - 1pm
Yasmeen Asali and Naomi Gluck John Soltis Direct Estimation of Galaxy Cluster Mass Accretion Rate using Machine Learning
Oct. 1
12pm - 1pm
Yasmeen Asali Kartheik Iyer Navigating the Cosmic Library with Pathfinder (and why interpretable spaces matter)
Oct. 29
12pm - 1pm
Yasmeen Asali Jiaxuan Li PopSED: Population-Level Inference for Galaxy Properties from Broadband Photometry
Nov. 12
12pm - 1pm
Yasmeen Asali Ivanna Escala Low Signal-to-Noise Resolved Stellar Spectroscopy at the Edge of the Local Group: Extracting Chemical and Kinematical Signatures Probing Galaxy Assembly in the M31 System

Fall 2024 Organizer: Yasmeen Asali.

Spring 2024 Schedule

For Spring 2024, we will be organizing the seminar in hybrid mode. The zoom link will be sent via deptartment wide email and the in-person session will be held in the KT 5th floor conference room. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
Jan. 30
12pm - 1pm
Imad Pasha Journal Club Deep Image Prior: the structure of generator network can capture many image statistics prior to any learning
Feb. 13
12pm - 1pm
Yasmeen Asali Hannah Wang Accelerate nature-based climate solution with machine learning
Feb. 27
12pm - 1pm
Yasmeen Asali Natali de Santi Measuring the impact of systematics on the predictions of Ωm on simulated galaxy catalogs using graph neural networks
Mar. 26
12pm - 1pm
Yasmeen Asali Shivam Pandey Cosmological Field-Level Inference and Its Pitfalls
Apr. 9
12pm - 1pm
Christopher Lindsay Marc Hon Go with the Flow: Generative Emulation for Grids of Stellar Models
Apr. 23
12pm - 1pm
Yasmeen Asali Helen Qu Towards Precision Photometric Supernova Cosmology with Machine Learning

Spring 2024 Organizer: Yasmeen Asali.

Fall 2023 Schedule

For Fall 2023, we will be organizing the seminar in hybrid mode. The zoom link will be sent via deptartment wide email and the in-person session will be held in the KT 5th floor conference room. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
Sept. 19
12pm - 1pm
Yasmeen Asali Becky Nevin Interpretable statistical learning for galaxy merger science: Key insights and lessons learned
Oct. 3
12pm - 1pm
Zili Shen Naomi Gluck An Observationally Driven Multifield Approach for Probing the Circum-Galactic Medium with Convolutional Neural Networks
Oct. 17
12pm - 1pm
Yasmeen Asali Matt Sampson Utilizing score-matching diffusion models as data-driven priors for efficient, constraint free, source deblending
Oct. 31
12pm - 1pm
Yasmeen Asali Carolina Cuesta-Lazaro Generative AI for the Large Scale Structure
Nov. 14
12pm - 1pm
Yasmeen Asali Daniel Muthukrishna Data-Driven Discovery of Transients in Time-Domain Surveys
Nov. 28
12pm - 1pm
Yasmeen Asali Tom Wagg Gravitational waves in our galactic backyard
Dec. 12
12pm - 1pm
Yasmeen Asali Sabrina Berger Using gradient descent-like methods to reconstruct the matter density field at high-z

Fall 2023 Organizer: Yasmeen Asali, Imad Pasha, and Sasha Gaines.

Spring 2023 Schedule

For Spring 2023, we will be organizing the seminar in hybrid mode. The zoom link will be sent via deptartment wide email and the in-person session will be held in the 46 HLH conference room. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
Jan. 24
12pm - 1pm
Yasmeen Asali Francisco Förster Burón The ALeRCE astronomical alert broker
Mar. 7
12pm - 1pm
Sasha Safonova Kaze Wong Challenges and Opportunities from gravitational waves: data scientists on diet
Mar. 28
12pm - 1pm
Sasha Safonova Georgios Valogiannis Going Beyond the Galaxy Power Spectrum: an Analysis of BOSS Data with Wavelet Scattering Transforms
Apr. 11
12pm - 1pm
Tim Miller Julia Briden Safe and Computationally Efficient Space Exploration: A Data-Driven Approach
Apr. 25
12pm - 1pm
Tim Miller Xinyi Chen Tips for Using Pytorch and GPU on Grace

Spring 2023 Organizers: Yasmeen Asali, Tim Miller, and Sasha Safonova.

Fall 2022 Schedule

For Fall 2022, we will be organizing the seminar in hybrid mode. The zoom link will be sent via deptartment wide email and the in-person session will be held in the 46 HLH conference room. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
Sept. 13
12pm - 1pm
Tim Miller Ivana Babic (LMU) BAO scale inference from biased tracers using the EFT likelihood
Sept. 27
12pm - 1pm
Tim Miller Farnik Nikakhtar Introduction to Optimal Transport for Astrophysical Needs
Oct. 11
12pm - 1pm
Yasmeen Asali Marc Huertas-Company Deep learning the physics of galaxy formation
Oct. 25
12pm - 1pm
Yasmeen Asali August Muench (AAS) Advances in data, software, and graphics in Journal articles
Nov. 8
12pm - 1pm
Sasha Safonova Priyanka Singh Dissecting the steps involved in galaxy classification using multi-wavelength photometric data
Nov. 29
12pm - 1pm
Sasha Safonova Inigo Slijepcevic (Manchester) Efficiently learning from un-labelled data for image processing in radio astronomy

Fall 2022 Organizers: Yasmeen Asali, Tim Miller, and Sasha Safonova.

Spring 2022 Schedule

For Spring 2022, we will be organizing the seminar virtually until Yale guidelines allow for in person gatherings to resume. The zoom link will be sent via deptartment wide email. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
Feb. 1
12pm - 1pm
Yasmeen Asali Sasha Safonova, Aritra Ghosh, Yasmeen Asali Benty-Fields Discussion
Feb. 15
12pm - 1pm
Yasmeen Asali Tim Miller Normalizing Flows
Mar. 1
12pm - 1pm
Tim Miller Yasmeen Asali Clustering and Dimensionality Reduction
Mar. 15
12pm - 1pm
Ava Polzin Matthew Ho Observational Inference in the Era of Machine Learning
Mar. 29
12pm - 1pm
Sasha Safonova Uri Shalit Multi-domain calibration of machine learning models and its relation to out-of-domain generalization
Apr. 12
12pm - 1pm
Aritra Ghosh Francisco Villaescusa-Navarro The CAMELS suite of simulations
Apr. 26
12pm - 1pm
Sasha Safonova Aaron Geller Why/How/When to Visualize Your Research Results

Spring 2022 Organizers: Yasmeen Asali, Aritra Ghosh, Tim Miller, Ava Polzin, and Sasha Safonova.

Fall 2021 Schedule

For Fall 2021, we will be organizing the seminar virtually until Yale guidelines allow for in person gatherings to resume. The zoom link will be sent via deptartment wide email. While the seminar is held in virtual or hybrid mode, we ask our attendees to follow our Guidelines for Virtual Engagement.

Date (Eastern Time) Organizer Long-Form Speaker Title/URL of paper/topic
Sept. 20
12pm - 1pm
Aritra Ghosh Sasha Safonova Introduction & Overview of a variety of Neural Networks
Oct. 4
12pm - 1pm
Aritra Ghosh Yasmeen Asali Computer Generated Images and Detection
Oct. 18
12pm - 1pm
Yasmeen Asali Tibor Rothschild Emulating Sunyaev-Zeldovich Images of Galaxy Clusters using Auto-Encoders
Nov. 1
12pm - 1pm
Aritra Ghosh, Yasmeen Asali Viviana Acquaviva Understanding galaxies: The perilous road from simulations to data
Nov. 15
12pm - 1pm
Aritra Ghosh Miles Cranmer The Problem with Deep Learning in Astrophysics (and how to fix it)
Nov. 29
12pm - 1pm
Sasha Safonova Paula Sánchez Sáez Searching for different AGN populations in massive datasets with Machine Learning
Dec. 13
12pm - 1pm
Sasha Safonova NeurIPS Special Session Overview/Recap

Fall 2021 Organizers: Yasmeen Asali, Aritra Ghosh, Sasha Safonova, and Zili Shen.